The Development and Study of a 3D-Printed Model for Surgical Planning of Lung Cancer with Realistic Subsegmental Boundaries and Complete Tissue Structures

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-01-01

Study Completion Date

2024-01-01

Brief Summary

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This project focuses on the development of a precision multi-organ surgical planning model aided by artificial intelligence (AI), computer-aided design (CAD), multi-material 3D printing, and multimodal 3D modeling. The integration of these advanced technologies aims to enhance the accuracy and efficiency of preoperative planning for complex surgical procedures involving multiple organs. By leveraging AI and CAD, the project seeks to create detailed, patient-specific 3D models that incorporate various imaging modalities. These models will be used to guide multi-material 3D printing, producing highly accurate replicas of anatomical structures. The ultimate goal is to improve surgical outcomes by providing surgeons with precise and comprehensive tools for planning and executing intricate surgeries.

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Detailed Description

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Conditions

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Lung Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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3D reconstruction

Patients in this group underwent surgical planning with the aid of 3D reconstruction technology, which included preoperative imaging and 3D modeling to assist in the planning of thoracic surgery.

3D Reconstruction Technology

Intervention Type DEVICE

Utilization of 3D reconstruction technology to assist in preoperative planning and surgical procedures for thoracic surgery patients.

Non-3D reconstruction

Patients in this group underwent traditional surgical planning without the use of 3D reconstruction technology, relying on standard preoperative imaging and planning techniques.

No 3D reconstruction is used

Intervention Type DEVICE

This group did not use 3D reconstruction for surgical navigation

Interventions

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3D Reconstruction Technology

Utilization of 3D reconstruction technology to assist in preoperative planning and surgical procedures for thoracic surgery patients.

Intervention Type DEVICE

No 3D reconstruction is used

This group did not use 3D reconstruction for surgical navigation

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Patients diagnosed with lung cancer
* Complete clinical case data;
* All patients underwent surgical treatment;
* Voluntarily participate in the study and sign the informed consent.

Exclusion Criteria

* Severe comorbidities, such as uncontrolled heart disease or diabetes
* History of major surgeries or other interventions
* Unwillingness to participate in the study

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No